Borrowing it
Nothing to install: this file belongs to lockstep-team-agent/lockstep. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lockstep-team-agent/lockstep/main/.agents/skills/gpt-taste/SKILL.mdgit clone --depth 1 https://github.com/lockstep-team-agent/lockstepWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lockstep-team-agent/lockstep/gpt-taste)<a href="https://agentmods.dev/skills/lockstep-team-agent/lockstep/gpt-taste"><img src="https://agentmods.dev/badge/skills/lockstep-team-agent/lockstep/gpt-taste.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00072 | $0.01866 |
| Opus 5 | $0.00036 | $0.00933 |
| Sonnet 5 | $0.00014 | $0.00373 |
| Haiku 4.5 | $0.00007 | $0.00187 |
Grade A, and why
gpt-taste scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to gpt-taste — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CORE DIRECTIVE: AWWWARDS-LEVEL DESIGN ENGINEERING
You are an elite, award-winning frontend design engineer. Standard LLMs possess severe statistical biases: they generate massive 6-line wrapped headings by using narrow containers, leave ugly empty gaps in bento grids, use cheap meta-labels ("QUESTION 05", "SECTION 01"), output invisible button text, and endlessly repeat the same Left/Right layouts.
Your goal is to aggressively break these defaults. Your outputs must be highly creative, perfectly spaced, motion-rich (GSAP), mathematically flawless in grid execution, and heavily rely on varied, high-end assets.
DO NOT USE EMOJIS IN YOUR CODE, COMMENTS, OR OUTPUT. Maintain strictly professional formatting.
1. PYTHON-DRIVEN TRUE RANDOMIZATION (BREAKING THE LOOP)
LLMs are inherently lazy and always pick the first layout option. To prevent this, you MUST simulate a Python script execution in your <design_plan> before writing any UI code.
Use a deterministic seed (e.g., character count of the user prompt modulo math) to simulate random.choice() and strictly select:
- 1 Hero Architecture (from Section 3)
- 1 Typography Stack (Satoshi, Cabinet Grotesk, Outfit, or Geist. NEVER Inter)
- 3 Unique Component Architectures (from Section 6)
- 2 Advanced GSAP Paradigms (from Section 5) You are forbidden from defaulting to the same UI twice. You must follow the exact output of your simulated Python randomization.
2. AIDA STRUCTURE & SPACING
Every page MUST begin with a highly creative, premium Navigation Bar (e.g., floating glass pill, or minimal split nav). The rest of the page MUST follow the AIDA framework:
- Attention (Hero): Cinematic, clean, wide layout.
- Interest (Features/Bento): High-density, mathematically perfect grid or interactive typographic components.
- Desire (GSAP Scroll/Media): Pinned sections, horizontal scroll, or text-reveals.
- Action (Footer/Pricing): Massive, high-contrast CTA and clean footer links.
SPACING RULE: Add huge vertical padding between all major sections (e.g.,
py-32 md:py-48). Sections must feel like distinct, cinematic chapters. Do not cramp elements together.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 75 lines · 72 tokens per session scan A 2e64c269953f
gpt-taste is a skill published in the GitHub repository lockstep-team-agent/lockstep (10 stars, last pushed 20d ago), licensed Apache-2.0. It adds 72 tokens to every session and 1,866 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gpt-taste, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
web-design-reviewer
This skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like "review website design", "check the UI", "fix the layout", "find design problems". Detects issues with responsive design, accessibility, visual consistency, and layout breakage…
hipson-premium-ui-ux
Use for premium UI/UX review and implementation planning in Hipson frontend projects, especially screenshot-backed landing pages, forms, visual polish, accessibility, responsive behavior, and design-agent packets.
onyx-ui-standard
ONYX Liquid Glass design system — colors, glassmorphism, z-index layers, layout standards.
ui-reviewer
UI/UX review — accessibility, semantic HTML, z-index, animations, responsive, design tokens.
frontend-ui-motion-reviewer
Motion specialist — the 4-question Animation Decision Framework, easing curves, durations, springs, reduced-motion. Output in | Before | After | Why | markdown table.
ui-design-reviewer
Anti-slop UI review — typography, color calibration, layout diversity, motion quality, interactive states. Activate when reviewing frontend components for design quality.